CONTACT INFORMATION:
- +34 664 119 377
- izaskun.oregui@tecnalia.com
PUBLICATIONS
- A. D. Martinez, E. Osaba, I. Oregi, I. Fister, I. Fister, and J. D. Ser, “Hybridizing differential evolution and novelty search for multimodal optimization problems,” in Proceedings of the genetic and evolutionary computation conference companion, 2019, p. 1980–1989.
[Bibtex]@inproceedings{martinez2019hybridizing, title={Hybridizing differential evolution and novelty search for multimodal optimization problems}, author={Martinez, Aritz D and Osaba, Eneko and Oregi, Izaskun and Fister, Iztok and Fister, Iztok and Ser, Javier Del}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion}, pages={1980--1989}, year={2019} }
- J. Del Ser, I. Lana, E. L. Manibardo, I. Oregi, E. Osaba, J. L. Lobo, M. N. Bilbao, and E. I. Vlahogianni, “Deep echo state networks for short-term traffic forecasting: performance comparison and statistical assessment,” Arxiv preprint arxiv:2004.08170, 2020.
[Bibtex]@article{del2020deep, title={Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment}, author={Del Ser, Javier and Lana, Ibai and Manibardo, Eric L and Oregi, Izaskun and Osaba, Eneko and Lobo, Jesus L and Bilbao, Miren Nekane and Vlahogianni, Eleni I}, journal={arXiv preprint arXiv:2004.08170}, year={2020} }
- I. Laña, J. Del Ser, M. Vélez, and I. Oregi, “Joint feature selection and parameter tuning for short-term traffic flow forecasting based on heuristically optimized multi-layer neural networks,” in International conference on harmony search algorithm, 2017, p. 91–100.
[Bibtex]@inproceedings{lana2017joint, title={Joint feature selection and parameter tuning for short-term traffic flow forecasting based on heuristically optimized multi-layer neural networks}, author={La{\~n}a, Ibai and Del Ser, Javier and V{\'e}lez, Manuel and Oregi, Izaskun}, booktitle={International conference on harmony search algorithm}, pages={91--100}, year={2017}, organization={Springer, Singapore} }
- E. Villar-Rodriguez, J. Del Ser, I. Oregi, M. N. Bilbao, and S. Gil-Lopez, “Detection of non-technical losses in smart meter data based on load curve profiling and time series analysis,” Energy, vol. 137, p. 118–128, 2017.
[Bibtex]@article{villar2017detection, title={Detection of non-technical losses in smart meter data based on load curve profiling and time series analysis}, author={Villar-Rodriguez, Esther and Del Ser, Javier and Oregi, Izaskun and Bilbao, Miren Nekane and Gil-Lopez, Sergio}, journal={Energy}, volume={137}, pages={118--128}, year={2017}, publisher={Pergamon} }
- I. Oregi, J. Del Ser, A. Pérez, and J. A. Lozano, “Nature-inspired approaches for distance metric learning in multivariate time series classification,” in 2017 ieee congress on evolutionary computation (cec), 2017, p. 1992–1998.
[Bibtex]@inproceedings{oregi2017nature, title={Nature-inspired approaches for distance metric learning in multivariate time series classification}, author={Oregi, Izaskun and Del Ser, Javier and P{\'e}rez, Aritz and Lozano, Jos{\'e} A}, booktitle={2017 IEEE Congress on Evolutionary Computation (CEC)}, pages={1992--1998}, year={2017}, organization={IEEE} }
- I. Oregi, A. Pérez, J. Del Ser, and J. A. Lozano, “On-line dynamic time warping for streaming time series,” in Joint european conference on machine learning and knowledge discovery in databases, 2017, p. 591–605.
[Bibtex]@inproceedings{oregi2017line, title={On-line dynamic time warping for streaming time series}, author={Oregi, Izaskun and P{\'e}rez, Aritz and Del Ser, Javier and Lozano, Jos{\'e} A}, booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases}, pages={591--605}, year={2017}, organization={Springer, Cham} }
- I. Oregi, J. Del Ser, A. Perez, and J. A. Lozano, “Adversarial sample crafting for time series classification with elastic similarity measures,” in International symposium on intelligent and distributed computing, 2018, p. 26–39.
[Bibtex]@inproceedings{oregi2018adversarial, title={Adversarial sample crafting for time series classification with elastic similarity measures}, author={Oregi, Izaskun and Del Ser, Javier and Perez, Aritz and Lozano, Jose A}, booktitle={International Symposium on Intelligent and Distributed Computing}, pages={26--39}, year={2018}, organization={Springer, Cham} }
- I. Oregi, A. Pérez, J. Del Ser, and J. A. Lozano, “On-line elastic similarity measures for time series,” Pattern recognition, vol. 88, p. 506–517, 2019.
[Bibtex]@article{oregi2019line, title={On-line Elastic Similarity Measures for time series}, author={Oregi, Izaskun and P{\'e}rez, Aritz and Del Ser, Javier and Lozano, Jose A}, journal={Pattern Recognition}, volume={88}, pages={506--517}, year={2019}, publisher={Pergamon} }
- A. Benitez-Hidalgo, A. J. Nebro, J. Garcia-Nieto, I. Oregi, and J. Del Ser, “Jmetalpy: a python framework for multi-objective optimization with metaheuristics,” Swarm and evolutionary computation, vol. 51, iss. 100598, 2019.
[Bibtex]@article{benitez2019jmetalpy, title={jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics}, author={Benitez-Hidalgo, Antonio and Nebro, Antonio J and Garcia-Nieto, Jose and Oregi, Izaskun and Del Ser, Javier}, journal={Swarm and Evolutionary Computation}, volume={51}, number={100598}, year={2019} }
- A. D. Martinez, E. Osaba, I. Oregi, I. Fister, I. Fister, and J. D. Ser, “Hybridizing differential evolution and novelty search for multimodal optimization problems,” in Proceedings of the genetic and evolutionary computation conference companion, 2019, p. 1980–1989.
[Bibtex]@inproceedings{martinez2019hybridizing, title={Hybridizing differential evolution and novelty search for multimodal optimization problems}, author={Martinez, Aritz D and Osaba, Eneko and Oregi, Izaskun and Fister, Iztok and Fister, Iztok and Ser, Javier Del}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion}, pages={1980--1989}, year={2019} }
- J. L. Lobo, I. Ballesteros, I. Oregi, and J. Del Ser, “Real-time electrical power prediction in a combined cycle power plant,” Arxiv preprint arxiv:1907.11653, 2019.
[Bibtex]@article{lobo2019real, title={Real-time Electrical Power Prediction in a Combined Cycle Power Plant}, author={Lobo, Jesus L and Ballesteros, Igor and Oregi, Izaskun and Del Ser, Javier}, journal={arXiv preprint arXiv:1907.11653}, year={2019} }
- J. L. Lobo, I. Oregi, A. Bifet, and J. Del Ser, “Exploiting a stimuli encoding scheme of spiking neural networks for stream learning,” Arxiv preprint arxiv:1908.08018, 2019.
[Bibtex]@article{lobo2019exploiting, title={Exploiting a Stimuli Encoding Scheme of Spiking Neural Networks for Stream Learning}, author={Lobo, Jesus L and Oregi, Izaskun and Bifet, Albert and Del Ser, Javier}, journal={arXiv preprint arXiv:1908.08018}, year={2019} }
- I. Laña, E. Villar-Rodriguez, U. Etxegarai, I. Oregi, and J. Del Ser, “A question of trust: statistical characterization of long-term traffic estimations for their improved actionability,” in 2019 ieee intelligent transportation systems conference (itsc), 2019, p. 1922–1928.
[Bibtex]@inproceedings{lana2019question, title={A Question of Trust: Statistical Characterization of Long-Term Traffic Estimations for their Improved Actionability}, author={La{\~n}a, Ibai and Villar-Rodriguez, Esther and Etxegarai, Urtats and Oregi, Izaskun and Del Ser, Javier}, booktitle={2019 IEEE Intelligent Transportation Systems Conference (ITSC)}, pages={1922--1928}, year={2019}, organization={IEEE} }
- J. L. Lobo, I. Oregi, A. Bifet, and J. Del Ser, “Exploiting the stimuli encoding scheme of evolving spiking neural networks for stream learning,” Neural networks, vol. 123, p. 118–133, 2020.
[Bibtex]@article{lobo2020exploiting, title={Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning}, author={Lobo, Jesus L and Oregi, Izaskun and Bifet, Albert and Del Ser, Javier}, journal={Neural Networks}, volume={123}, pages={118--133}, year={2020}, publisher={Pergamon} }
- J. L. Lobo, I. Ballesteros, I. Oregi, J. Del Ser, and S. Salcedo-Sanz, “Stream learning in energy iot systems: a case study in combined cycle power plants,” Energies, vol. 13, iss. 3, p. 740, 2020.
[Bibtex]@article{lobo2020stream, title={Stream Learning in Energy IoT Systems: A Case Study in Combined Cycle Power Plants}, author={Lobo, Jesus L and Ballesteros, Igor and Oregi, Izaskun and Del Ser, Javier and Salcedo-Sanz, Sancho}, journal={Energies}, volume={13}, number={3}, pages={740}, year={2020}, publisher={Multidisciplinary Digital Publishing Institute} }
- J. Del Ser, I. Lana, E. L. Manibardo, I. Oregi, E. Osaba, J. L. Lobo, M. N. Bilbao, and E. I. Vlahogianni, “Deep echo state networks for short-term traffic forecasting: performance comparison and statistical assessment,” Arxiv preprint arxiv:2004.08170, 2020.
[Bibtex]@article{del2020deep, title={Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment}, author={Del Ser, Javier and Lana, Ibai and Manibardo, Eric L and Oregi, Izaskun and Osaba, Eneko and Lobo, Jesus L and Bilbao, Miren Nekane and Vlahogianni, Eleni I}, journal={arXiv preprint arXiv:2004.08170}, year={2020} }
- I. Oregi, J. Del Ser, A. Pérez, and J. A. Lozano, “Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences,” Neural networks, 2020.
[Bibtex]@article{oregi2020robust, title={Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences}, author={Oregi, Izaskun and Del Ser, Javier and P{\'e}rez, Aritz and Lozano, Jos{\'e} A}, journal={Neural Networks}, year={2020}, publisher={Pergamon} }